kaerman

计算三层框架的损伤前后响应的对比，对于结构健康监测比较实用(Three frames before and after damage calculation response contrast, more practical for structural health monitoring)

设计和实现了一个截止频率在10~50Mhz的FIR带通滤波器，并给定了一个混合信号，画出经过带通滤波器滤波后的输出波形(Design & implement an FIR band-pass digital filter with cut-off frequencies 10 MHz & 50 MHz Apply it to a signal, and display related filter and signal waveforms.)

整流器模型mdl模型，希望对初学者理解整理过程有用(Mdl model rectifying model, I hope useful for beginners to understand the process)

惯性测量单元的C源代码 用于测量物体的姿态变化 可应用与惯性导航 小飞机等设计(IMU(inertial measurement unit) source code)

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)

说明：  采用matlab编写的，采用二进制进行模式分类的程序，(prepared using Matlab, using binary for pattern classification procedures,)

matlab非常好的学习课件，适合短时间自学的人使用。内容全面并且易懂。(The matlab great learning courseware, suitable for short-term self-use. Comprehensive and easy to understand.)

利用matlab对无线传感器网络进行部署，并且部署了长方形的障碍物，模拟室内环境。(Using matlab to deploy wireless sensor networks, and deployed a rectangular obstacles, simulated indoor environment.)

The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.(The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.)

多用户衰落信道下，能量检测技术仿真漏检率和虚警率性能。(Multi-user fading channel simulation undetected rate and false alarm rate performance of energy detection technology.)